Development of machine learning/artificial intelligence algorithm that can select normal people and patients with mild cognitive impairment from fNIRS signals measured during olfactory stimulation in the prefrontal cortex

Overview

No summary available.

Registry

who.int

Start Date

TBD

End Date

December 31, 2023

Last Updated

2 years ago

Study Type

Interventional Study

Sex

All

Sponsor

•¦ Criteria for selection of research subjects
•? Adult men and women with no physical or mental history other than dementia
•(Age 45 or older – under 100\)
•? Normal people with no symptoms of dementia
•? Mild cognitive impairment
•? Dementia patients
•? Since this study establishes a system that can classify dementia severity and monitor the progress of dementia patients through the modeling of indicators related to brain function and behavior of dementia patients, it is difficult to analyze the significant characteristics as the severity corresponds to the terminal stage. Patients with difficult AD were not included in the initial study. However, if a subject corresponding to the severity level 0 to 4 in this study develops into a terminal AD patient, it may be included in the subject of the follow\-up/analysis study.

•¦ Criteria for exclusion of study subjects
•? If it is judged that the experiment is impossible because you cannot sit still for more than 10 minutes
•? Elderly people with reduced sense of smell due to acute infection
•? If you are unable to walk on your own due to severe gait disturbance
•? When it is judged that the gait and balance\-related behavior experiment cannot be performed due to the high risk of falling